{"id":"https://openalex.org/W2904236883","doi":"https://doi.org/10.1145/3291280.3291795","title":"Sentiment Analysis Based on MapReduce","display_name":"Sentiment Analysis Based on MapReduce","publication_year":2018,"publication_date":"2018-12-10","ids":{"openalex":"https://openalex.org/W2904236883","doi":"https://doi.org/10.1145/3291280.3291795","mag":"2904236883"},"language":"en","primary_location":{"id":"doi:10.1145/3291280.3291795","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3291280.3291795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Advances in Information Technology","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058590124","display_name":"Mariam Khader","orcid":null},"institutions":[{"id":"https://openalex.org/I158749337","display_name":"Princess Sumaya University for Technology","ror":"https://ror.org/01jy46q10","country_code":"JO","type":"education","lineage":["https://openalex.org/I158749337"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Mariam Khader","raw_affiliation_strings":["Computer Science, Princess Sumaya University for Technology, Amman, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, Princess Sumaya University for Technology, Amman, Jordan","institution_ids":["https://openalex.org/I158749337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062695565","display_name":"Arafat Awajan","orcid":"https://orcid.org/0000-0002-7067-5658"},"institutions":[{"id":"https://openalex.org/I158749337","display_name":"Princess Sumaya University for Technology","ror":"https://ror.org/01jy46q10","country_code":"JO","type":"education","lineage":["https://openalex.org/I158749337"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Arafat Awajan","raw_affiliation_strings":["Computer Science, Princess Sumaya University for Technology, Amman, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, Princess Sumaya University for Technology, Amman, Jordan","institution_ids":["https://openalex.org/I158749337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004537635","display_name":"Ghazi Al\u2010Naymat","orcid":"https://orcid.org/0000-0002-9661-5354"},"institutions":[{"id":"https://openalex.org/I158749337","display_name":"Princess Sumaya University for Technology","ror":"https://ror.org/01jy46q10","country_code":"JO","type":"education","lineage":["https://openalex.org/I158749337"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Ghazi Al-Naymat","raw_affiliation_strings":["Computer Science, Princess Sumaya University for Technology, Amman, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, Princess Sumaya University for Technology, Amman, Jordan","institution_ids":["https://openalex.org/I158749337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.169,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62408936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.9177871942520142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8693045973777771},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.7168490886688232},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6565625667572021},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6140231490135193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5617135763168335},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.558745801448822},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5446102619171143},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4744865894317627},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47204598784446716},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.389011025428772},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3386957049369812},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.295865535736084},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1851276159286499}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.9177871942520142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8693045973777771},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.7168490886688232},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6565625667572021},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6140231490135193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5617135763168335},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.558745801448822},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5446102619171143},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4744865894317627},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47204598784446716},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.389011025428772},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3386957049369812},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.295865535736084},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1851276159286499},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3291280.3291795","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3291280.3291795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Advances in Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1750239605","https://openalex.org/W1901541308","https://openalex.org/W1984099576","https://openalex.org/W2019759670","https://openalex.org/W2043157037","https://openalex.org/W2156741031","https://openalex.org/W2251345040","https://openalex.org/W2326761481","https://openalex.org/W2387022776","https://openalex.org/W2400032930","https://openalex.org/W2406624406","https://openalex.org/W2512317583","https://openalex.org/W2560592988","https://openalex.org/W2587438143","https://openalex.org/W2590061102","https://openalex.org/W2608581744","https://openalex.org/W2727488328","https://openalex.org/W2751196688","https://openalex.org/W2762311242","https://openalex.org/W2766332866","https://openalex.org/W2782901959","https://openalex.org/W2786540448","https://openalex.org/W2803179511","https://openalex.org/W2900420237","https://openalex.org/W6733451623","https://openalex.org/W6744113552"],"related_works":["https://openalex.org/W2140536630","https://openalex.org/W2888662092","https://openalex.org/W3205826705","https://openalex.org/W2903394456","https://openalex.org/W2902285665","https://openalex.org/W2975174210","https://openalex.org/W4200238620","https://openalex.org/W2244029015","https://openalex.org/W2287843335","https://openalex.org/W3021501837"],"abstract_inverted_index":{"Sentiment":[0,43],"analysis":[1,44,100,106],"is":[2,27],"the":[3,20,80,104,111,116,135],"process":[4],"of":[5,22,82,88,129,143],"analyzing":[6],"people's":[7],"sentiments,":[8],"opinions,":[9],"evaluations":[10],"and":[11],"emotions":[12],"by":[13],"studying":[14],"their":[15],"written":[16],"text.":[17],"It":[18],"attracts":[19],"interest":[21],"many":[23,30],"researchers,":[24],"since":[25],"it":[26],"useful":[28],"for":[29,76,122],"applications,":[31],"ranging":[32],"from":[33,125],"decision":[34],"making":[35],"to":[36,39,91],"product":[37],"evaluation":[38],"mention":[40],"a":[41,73],"few.":[42],"can":[45],"be":[46],"conducted":[47],"using":[48],"machine-learning":[49],"techniques,":[50,101],"lexicon-based":[51],"techniques":[52,55,90,137],"or":[53],"hybrid":[54],"that":[56,110],"combines":[57],"both.":[58],"As":[59],"people":[60],"are":[61],"more":[62],"reliant":[63],"on":[64,103],"social":[65],"networks":[66],"such":[67,94],"as":[68],"Twitter,":[69],"this":[70],"has":[71],"become":[72],"valuable":[74],"source":[75],"sentiment":[77,99],"analysis.":[78],"However,":[79,134],"existence":[81],"big":[83,126],"data":[84],"frameworks":[85],"require":[86],"adaptation":[87],"these":[89],"run":[92],"within":[93],"frameworks.":[95],"This":[96],"paper":[97],"reviews":[98],"focusing":[102],"MapReduce-based":[105],"techniques.":[107],"We":[108],"found":[109],"Na\u00efve":[112],"Bayes":[113],"algorithm":[114],"was":[115],"most":[117],"used":[118],"machine":[119],"learning":[120],"technique":[121],"extracting":[123],"sentiments":[124],"datasets":[127],"because":[128],"its":[130],"high":[131],"accuracy":[132],"rates.":[133],"dictionary-based":[136],"achieved":[138],"better":[139],"results":[140],"in":[141],"terms":[142],"execution":[144],"time.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}